SOCIO-ECONOMIC EVALUTION OF HOUSEHOLD AND PORERITY ALLVEVIATION IN ISIUZO L.G.A



 OBJECTIVE OF THE STUDY
            The broad objective of the stuffy is to understand poverty its causes, effects and protect strategies that may be employed to reduce the incidence in Abakaliki Local Government Area of Ebonyi State.
            The specific objective is to determine the effect of the socio-economic characteristics of the respondents on their level of acceptance in the study area.


Hypothesis
            Null hypothesis were has;
The socio-economic characteristics of the moral people have no significant effect on their level of acceptance in the study area.

Data analysis
            Multiple regression analysis were used to analyzed the objective selected for the study.
            The model specifications were as follows:
Y         =          F(x1, x2, x3, x4, x5, x6)
                        Implicit function.
Y         =          b0 + b1, + b2 x2 + b3 x3 + b4 + b4 x4
                        b5 x5 + b6 x6 + et explicit form
Where:
Y         =          level of participation in poverty alleviation programmers
X1        =          Age (years)
X2        =          Sex =
X3        =          Marital status
X4        =          Level of Education (years)
X5        =          From size (La)
X6        =          Faming experience (years)
Variable  
Variable name  
Regression coefficient  
Std error
T-value
Size
Constant
-
1.75
0.727
2.416
0.021
X1
Age
0.112
0.074
-1.505
0.001
X2
Sex
0.007
0.229
0.030
0.976
X3
Mantel status
0.056
0.76
0.736
0.467
X4
Educational status
0.373
0.184
0.000
0.051
X5
Annual income

0.056
0.401
0.007
X6
Family size

0.114
2.747
0.010
       
R2(square)                 =          0.727 x 100   =          72.7%
Adjusted R2   =          0.713
Std. Error of the estimates =          0.73636
Durbin – Waston                  =          1.949
Source: Data analysis, 2013
The result of analysis showed that a coefficient of multiple determinations R2 of 0.727. This shows that about 72.7% change in the dependent variable (level of participation in poverty alleviation programmes) was caused by changes in the independent variable (socio-economic characteristics of the respondents). This is quite high in dictating that the socio-economic characteristics of the respondents had significant influence on their level of participation in poverty reduction strategies in the study area.
            The coefficient of age (x1) had a positive coefficient indicating positive relationship with the dependent variable, but statistically significant. This shows that the higher the age of the forms, the make they participate in poverty reduction programme in the study area
            Sex (x2) was negatively signed but not statistically significant, this reveals that negative relationship exist between the respondents level of participation in poverty reduction programmes and their socio-economic characteristics. It could be that male farmers participated in poverty reduction programmes than female farmers or vice versa.
            The coefficient of marital status (x3) was positively signed and highly insignificant. This implies that positive relationship exists between the respondents marital status and their level of participation in poverty reduction programmes which level of participation in poverty reduction programmes which means that married farmers participated in poverty reduction programmes in the study area.
            The respondents level of education (x4) was highly statistically significant at 10% level of significant, and positively signed, slowing that positive relationship is existing between the respondent level of reduction and their level of participation in poverty reduction strategies in the study area. This means that the higher the level of education the higher than level of participation in poverty reduction programmes.
            Also, family size (xg) which was highly statistically significant at 10% level of significance and indicated a positive coefficient meaning that positive relationship is existing between family size of the respondents and their level of participation in poverty reduction programmes. This implies that farmers with high family size participated more in poverty reduction programmes than those with lower family size. This is because the farmers with large family size have more months to feed and to take part seriously in poverty reduction programmes in order to increase productivity and have sufficient food to feed to their dependents.
            Moreover, the respondent annual income (x6), which was positively signed and highly statistically significant at 5% level of significance was equally indicting that positive relationship exists with the dependent variable (level of participation in poverty programmes in the study area).
Hypothesis Testing
Decision Rule
If F – cal is greater than F – tab, reject null hypothesis otherwise accept the alternative hypothesis
F – cal            =          R2 (N – K)
                                    1 – R2 (K – I)
Where;
R2        =          Multiple coefficient determination
K         =          Number of variable
N         =          Sample size
                        F          -           cal       0.727 (40 – 6)
                                                            1 – 0.727 (b-1)
                        F – cal                        31.988
                                                            1.365
                        F – cal                        23.434
                        F – tab at 0.5 level of significance
                        F – tab            =          2.80
Mean which, the f – cal was greater than the f – tab the null hypothesis was rejected and alternative hypothesis accepted. Therefore, it implies that the socio-economic characteristics of the rural people/farmers have significant difference on the their level of participation in poverty reduction programmes in the study area. 
Share on Google Plus

Declaimer - MARTINS LIBRARY

NB: Join our Social Media Network on Google Plus | Facebook | Twitter | Linkedin